{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "juxhinr-bindwidth--size-hardware-for-private-llm",
 "repo": "juxhinr/bindwidth",
 "repo_url": "https://github.com/juxhinr/bindwidth",
 "repo_slug": "juxhinr-bindwidth",
 "title": "Size the hardware you need to run a private LLM",
 "page_title": "How to size the hardware you need to run a private LLM with Bindwidth",
 "summary": "Enter your model and workload and see which limit binds, memory, serving load or session ceiling.",
 "who": "An IT lead asked how many GPUs the company needs to run a chat model in house.",
 "problem": "Teams usually size for the wrong limit and overbuy or underbuy.",
 "outcome": "A sized configuration showing the binding constraint and its cost.",
 "steps": [
  "Open the hosted calculator, or run it locally with `python3 -m http.server 8080` after cloning",
  "Pick a guided setup preset or enter your model and workload",
  "Read which of the three limits binds",
  "Compare the eligible hardware alternatives"
 ],
 "agent_prompt": "Use juxhinr/bindwidth to size hardware for <model> serving <users> concurrent sessions. Report the binding constraint and the cheapest eligible option, and confirm the numbers by re-running with the preset changed.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "It sizes one resident text model; multi-model or multimodal setups are outside its scope.",
 "category": "Data and analytics",
 "tags": [
  "Data and analytics"
 ],
 "lang": "javascript",
 "requirements": [
  "A web browser (or Python to serve it locally)",
  "Node.js only for running the tests"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/juxhinr-bindwidth/size-hardware-for-private-llm/",
 "md": "https://dedupedai.com/use-cases/juxhinr-bindwidth/size-hardware-for-private-llm/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/juxhinr-bindwidth--size-hardware-for-private-llm.json",
 "api_version": "v1"
}